We welcome you to Pinterest's first Engineering, Product & Design Talent Community newsletter of 2026. Here's your inside scoop of Pinterest news, updates and stories from our team. Stay in touch with us via our social accounts: Pinterest, LinkedIn, X, Engineering LinkedIn and Instagram!
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Pinterest to acquire tvScientific
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Pinterest today announced it has entered into a definitive agreement to acquire tvScientific, a connected TV (CTV) performance advertising platform. For the first time, Pinterest will combine its intent-rich audience signals with a CTV engine, so marketers can clearly measure how TV lifts the results of their performance ad campaigns. Read more below
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Pinterest engineering blog spotlight: LLM-powered relevance assessment for Pinterest search 👀
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Curious how we scale search relevance with LLMs? This post dives into how our engineers use large scale language models to evaluate new ranking models and ensure a high-quality user experience. See how our engineers are rethinking search quality below.
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Pinterest Predicts™ 2026 has officially arrived. 🔮
Our not-yet-trending report is packed with next year’s biggest trends in fashion, beauty, home decor, food and more. 👀
Check out our 2026 trends below.
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Meet Ali Khan, Sr. Recruiter 📱
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Meet Ali, Sr. ML Recruiter at Pinterest. Ali shares why Pinterest is an ideal place to build and ship multi-modal models with real product impact. Read more below!
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✨ Your bonus engineering moment ✨
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How do you organize a billion‑item catalog into something users can actually shop? We built PinLanding, a production-oriented pipeline for shopping collection generation. The system combines VLMs, LLM‑as‑judge, dense embeddings and ANN‑based matching to power AI‑native shopping on Pinterest.
The result: 4.2M shopping landing pages and a 35% improvement in search performance.
Our engineers share more about building PinLanding in our new blog article below.
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Want to work with the people behind the product?
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🌍 Manager II, Machine Learning Search
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📌 San Francisco, CA | Remote
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In this role you'll be responsible for major areas of the search engine for more than 600+ million monthly active users, including indexing and document ranking, personalization, ML based retrieval, shopping, videos, as well as infrastructure efficiency and scalability. In addition, you will work on innovative applications of NLP and Vision Models, and other techniques to drive query recommendations, multimodal search, agentic search and multimodal query understanding.
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💡 Principal Machine Learning Engineer, Ads Delivery
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📌 San Francisco, CA | Palo Alto, CA | Seattle, WA
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In this role, you will be responsible for developing and executing a vision for the evolution of the Pinterest marketplace. You will design and implement systems that improve the ads delivery funnel, experiments that shape the utility function, auction mechanism design, ad allocation and for deriving new insights through analysis of the marketplace dynamics. In short, this is a unique position, where you’ll get the freedom to work to bring together pinners and partners in this unique marketplace.
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